ADCI
Software Development, Data Engineering, Retail
DataEngineer,CrossBorderScienceandAnalytics
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer, Cross Border Science and Analytics at ADCI. Skills: Data engineering, ETL pipelines, Data modeling. Build AI ready data infrastructure. Support analytical products”
Industry & Context.
What They're Looking For.
Must Have
1+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience with building ETL pipelines, Experience with one or more query language, Experience with one or more scripting language
Nice to Have
Experience with big data technologies, Experience with any ETL tool
What You'll Do.
Build AI ready data infrastructure
Support analytical products
Support science products
Full Job Description
Amazon's Cross Border business is looking for a passionate data engineer who can contribute to build the AI ready data infrastructure to support all analytical and science products for businesses. Basic Qualifications: - 1+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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